| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | — | NAHL | 43 | 6 | 12 | 18 | 0.419 | 0.1538 | 0.1645 | 0.4418 | 0.4724 |
| 2018-19 | Fargo Force | USHL | 60 | 7 | 3 | 10 | 0.167 | 0.0983 | 0.0970 | 0.5007 | 0.4940 |
| 2019-20 | — | USHL | 41 | 10 | 14 | 24 | 0.585 | 0.3453 | 0.3453 | 1.7582 | 1.7582 |
| 2020-21 | Des Moines Buccaneers | USHL | 49 | 11 | 9 | 20 | 0.408 | 0.2408 | 0.2408 | 1.2260 | 1.2260 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Ferris State | D1 | CCHA | SR | 33 | 8 | 5 | 13 | 0.394 |
| 2023-24 | Ferris State | D1 | CCHA | JR | 34 | 6 | 6 | 12 | 0.353 |
| 2022-23 | Ferris State | D1 | CCHA | SO | 27 | 0 | 3 | 3 | 0.111 |
| 2021-22 | Ferris State | D1 | CCHA | FR | 32 | 3 | 4 | 7 | 0.219 |
How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.
Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.